Tightness and weak convergence in the topology of local uniform convergence for stochastic processes in the dual of a nuclear space
arXiv:2312.04612 · doi:10.1515/rose-2025-2026
Abstract
Let denote the strong dual of a nuclear space and let be the collection of all continuous mappings equipped with the topology of local uniform convergence. In this paper we prove sufficient conditions for tightness of probability measures on and for weak convergence in for a sequence of -valued processes. We illustrate our results with two applications. First, we show the central limit theorem for local martingales taking values in the dual of an ultrabornological nuclear space. Second, we prove sufficient conditions for the weak convergence in for a sequence of solutions to stochastic partial differential equations driven by semimartingale noise.
The original submission has been split into two separated works. Tightness and weak uniform convergence covered in this work, and UCP convergence is studied in the separated work arXiv:2303.17082
References in corpus (6)
- Stochastic Integration and Stochastic PDEs Driven by Jumps on the Dual of a Nuclear Space
- Existence of Continuous and Càdlàg Versions for Cylindrical Processes in the Dual of a Nuclear Space
- Tightness and Weak Convergence of Probabilities on the Skorokhod Space on the Dual of a Nuclear Space and Applications
- Semimartingales on Duals of Nuclear Spaces
- Stochastic integration with respect to cylindrical semimartingales
- Convergence Uniform on Compacts in Probability with Applications to Stochastic Analysis in Duals of Nuclear Spaces